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Measuring the complexity of mega construction projects in China-A fuzzy analytic network process analysis

机译:衡量中国大型建设项目的复杂性-模糊分析网络过程分析

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摘要

Mega construction projects in China are usually very complicated in nature, thus evaluating and understanding these complexities are critical to the success of these megaprojects. However, empirical studies related to the measurement of the complexity of megaprojects remain lacking. This paper aims to fill this gap by developing a complexity measurement model based on the Shanghai Expo construction project in China using fuzzy analytic network process (FANP). Firstly, a complexity measurement model consisting of 28 factors, which are grouped under six categories, namely, technological, organizational, goal, environmental, cultural and information complexities, is formulated through literature review using the content analysis technique. The model is then refined by a two-round Delphi survey conducted in the case megaproject. Finally, the refined model and suggestions for its application are provided based on the survey results. The model is believed to be beneficial for scholars and serve as reference for professionals in managing megaprojects. (C) 2014 Elsevier Ltd. APM and IPMA. All rights reserved.
机译:中国的大型建筑项目通常性质上非常复杂,因此评估和理解这些复杂性对于这些大型项目的成功至关重要。但是,仍然缺乏与大型项目的复杂性测量相关的经验研究。本文旨在通过使用模糊分析网络过程(FANP)在中国上海世博会建设项目的基础上开发复杂性度量模型来填补这一空白。首先,利用内容分析技术,通过文献综述,建立了由28个因素组成的复杂性度量模型,分为28个因素,分别是技术,组织,目标,环境,文化和信息复杂性。然后,通过在案例大型项目中进行的两轮Delphi调查对模型进行完善。最后,根据调查结果提供了改进的模型及其应用建议。该模型被认为对学者有利,并为管理大型项目的专业人士提供参考。 (C)2014 Elsevier Ltd. APM和IPMA。版权所有。

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